Khalid Saeed

551 total citations
20 papers, 340 citations indexed

About

Khalid Saeed is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Khalid Saeed has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Khalid Saeed's work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Khalid Saeed is often cited by papers focused on Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Khalid Saeed collaborates with scholars based in Finland, United States and Ireland. Khalid Saeed's co-authors include Tero Aittokallio, Olli Kallioniemi, Jay Klievink, Olli Dufva, Satu Mustjoki, Päivi Östling, Aleksandr Ianevski, Pekka Ellonen, Matti Korhonen and Petri Pölönen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Khalid Saeed

16 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Khalid Saeed Finland 8 172 169 66 61 52 20 340
Wenbao Yu United States 10 119 0.7× 297 1.8× 120 1.8× 36 0.6× 51 1.0× 25 492
Ross J Porter United Kingdom 9 136 0.8× 98 0.6× 81 1.2× 30 0.5× 46 0.9× 19 320
Rohan P. Joshi United States 10 166 1.0× 151 0.9× 191 2.9× 39 0.6× 56 1.1× 27 469
Ronan Thibaut France 6 237 1.4× 137 0.8× 195 3.0× 68 1.1× 44 0.8× 7 428
Luciana Rodrigues Carvalho Barros Brazil 11 227 1.3× 189 1.1× 99 1.5× 57 0.9× 24 0.5× 27 379
Jean Oak United States 14 152 0.9× 218 1.3× 213 3.2× 19 0.3× 22 0.4× 37 534
Lemei Jia China 7 199 1.2× 130 0.8× 126 1.9× 61 1.0× 24 0.5× 12 323
Rene Quevedo Canada 9 182 1.1× 249 1.5× 85 1.3× 16 0.3× 110 2.1× 15 503
Lesley A. Mathews Griner United States 11 158 0.9× 273 1.6× 148 2.2× 30 0.5× 39 0.8× 18 514

Countries citing papers authored by Khalid Saeed

Since Specialization
Citations

This map shows the geographic impact of Khalid Saeed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Khalid Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Saeed more than expected).

Fields of papers citing papers by Khalid Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid Saeed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Khalid Saeed. The network helps show where Khalid Saeed may publish in the future.

Co-authorship network of co-authors of Khalid Saeed

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid Saeed. A scholar is included among the top collaborators of Khalid Saeed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khalid Saeed. Khalid Saeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jokinen, Emmi, Essi Laajala, Shady Adnan Awad, et al.. (2025). High-throughput drug screening identifies SMAC mimetics as enhancers of NK-cell cytotoxicity in chronic myeloid leukemia. Blood. 145(15). 1670–1686. 2 indexed citations
2.
Łukasiak, Sebastian, Alex T. Kalinka, Nikhil Gupta, et al.. (2025). A benchmark comparison of CRISPRn guide-RNA design algorithms and generation of small single and dual-targeting libraries to boost screening efficiency. BMC Genomics. 26(1). 198–198. 3 indexed citations
3.
Abbasi, Ahmed, et al.. (2025). Data-driven strategies for drug repurposing: insights, recommendations, and case studies. Briefings in Bioinformatics. 26(6).
4.
5.
Dai, Jun, Shuyu Zheng, Matías Marín Falco, et al.. (2024). Tracing back primed resistance in cancer via sister cells. Nature Communications. 15(1). 1158–1158. 7 indexed citations
6.
Jokinen, Emmi, Essi Laajala, Aleksandr Ianevski, et al.. (2023). High-Throughput Screens Identify NEDD8 Inhibition As a Strategy to Augment Natural Killer Cell Cytotoxicity Against Blood Cancers. Blood. 142(Supplement 1). 3634–3634.
7.
Saeed, Khalid & Fionnuala Ní Áinle. (2022). Standardizing definitions for bleeding events in studies including pregnant women: A call to action. Research and Practice in Thrombosis and Haemostasis. 6(7). e12822–e12822. 1 indexed citations
8.
Szklanna, Paulina B., Khalid Saeed, Luisa Weiß, et al.. (2022). Case Report: Hypergranular Platelets in Vaccine-Induced Thrombotic Thrombocytopenia After ChAdOx1 nCov-19 Vaccination. Frontiers in Cardiovascular Medicine. 9. 824601–824601.
9.
Áinle, Fionnuala Ní, Declan Lyons, Khalid Saeed, et al.. (2021). Outcomes Following Acute Pulmonary Embolism in an Irish Population of over 1 Million Individuals: Opportunities for Quality Improvement and More Effective Resource Utilisation. Blood. 138(Supplement 1). 2979–2979. 1 indexed citations
10.
Dufva, Olli, Pilvi Maliniemi, Aleksandr Ianevski, et al.. (2019). Integrated drug profiling and CRISPR screening identify essential pathways for CAR T-cell cytotoxicity. Blood. 135(9). 597–609. 157 indexed citations
11.
Dufva, Olli, Khalid Saeed, Sara Gandolfi, et al.. (2019). CRISPR Screens Identify Mechanisms of Natural Killer Cell Evasion across Blood Cancers. Blood. 134(Supplement_1). 3597–3597. 3 indexed citations
12.
Bashir, Hamid, et al.. (2018). CAUSATIVE AGENTS OF URINARY TRACT INFECTION IN DIABETIC PATIENTS AND THEIR PATTERN OF ANTIBIOTIC SUSCEPTIBILITY. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Saeed, Khalid, Teijo Pellinen, Samuli Eldfors, et al.. (2018). Clonal heterogeneity influences drug responsiveness in renal cancer assessed by ex vivo drug testing of multiple patient‐derived cancer cells. International Journal of Cancer. 144(6). 1356–1366. 26 indexed citations
14.
Saeed, Khalid, Samuli Eldfors, John Patrick Mpindi, et al.. (2016). Comprehensive Drug Testing of Patient-derived Conditionally Reprogrammed Cells from Castration-resistant Prostate Cancer. European Urology. 71(3). 319–327. 72 indexed citations
15.
Saeed, Khalid, Samuli Eldfors, Dmitrii Bychkov, et al.. (2016). Abstract 608: Comprehensive drug testing of patient-derived conditionally reprogrammed cells from castration-resistant prostate cancer. Cancer Research. 76(14_Supplement). 608–608.
16.
Mpindi, John-Patrick, Swapnil Potdar, Dmitrii Bychkov, et al.. (2015). Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose–response data. Bioinformatics. 31(23). 3815–3821. 27 indexed citations
17.
Saeed, Khalid, Päivi Östling, Mari Björkman, et al.. (2014). Androgen receptor‐interacting protein HSPBAP1 facilitates growth of prostate cancer cells in androgen‐deficient conditions. International Journal of Cancer. 136(11). 2535–2545. 9 indexed citations
18.
19.
Xu, Ning, Sofia Gkountela, Khalid Saeed, & Göran Akusjärvi. (2009). The 5′-end heterogeneity of adenovirus virus-associated RNAI contributes to the asymmetric guide strand incorporation into the RNA-induced silencing complex. Nucleic Acids Research. 37(20). 6950–6959. 17 indexed citations
20.
Saeed, Khalid, et al.. (1999). Successful treatment by meropenem of Campylobacter jejuni meningitis in a chronic alcoholic following neurosurgery. Journal of Infection. 39(3). 241–243. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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